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A voxel based method for binarized white matter extraction that leaves high frequency components intact.

Research output: Contribution to journalArticle

Abstract

We have developed an algorithm to recover white matter from MRI scans that includes high frequency spatial components. Such components are of interest in clinical populations and essential for estimates of cortical thickness, but are absent in techniques that involve smoothing. The proposed method builds upon the established tissue classification provided by SPM (Ashburner & Friston, 2000; 2005) extending white matter classification to recover the full extent of white matter. To generate a continuous white matter surface, we binarized the white matter classification. We validated our algorithm by comparison with manual segmentation.

ID: 18475191